Learning Cross-Modal Aligned Representation With Graph Embedding
The main task of cross-modal analysis is to learn discriminative representation shared across different modalities. In order to pursue aligned representation, conventional approaches tend to construct and optimize a linear projection or train a complex architecture of deep layers, yet it is difficul...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8543794/ |